Li, Xuhong

13 publications

AAAI 2025 SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning Tianhao Peng, Xuhong Li, Haitao Yuan, Yuchen Li, Haoyi Xiong

AAAI 2024 G-LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint) Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou

ICML 2024 GiLOT: Interpreting Generative Language Models via Optimal Transport Xuhong Li, Jiamin Chen, Yekun Chai, Haoyi Xiong

MLJ 2024 Towards Accurate Knowledge Transfer via Target-Awareness Representation Disentanglement Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Cheng-Zhong Xu, Dejing Dou

NeurIPS 2023 $\mathcal{M}^4$: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods Across Metrics, Modalities and Models Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, Himabindu Lakkaraju, Haoyi Xiong

TMLR 2023 Beyond Intuition: Rethinking Token Attributions Inside Transformers Jiamin Chen, Xuhong Li, Lei Yu, Dejing Dou, Haoyi Xiong

MLJ 2023 Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study Xuhong Li, Haoyi Xiong, Siyu Huang, Shilei Ji, Dejing Dou

MLJ 2023 Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou

AAAI 2023 Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed Features Qingrui Jia, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, Dejing Dou

MLOSS 2022 InterpretDL: Explaining Deep Models in PaddlePaddle Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Zeyu Chen, Dejing Dou

NeurIPSW 2021 Explaining Information Flow Inside Vision Transformers Using Markov Chain Tingyi Yuan, Xuhong Li, Haoyi Xiong, Hui Cao, Dejing Dou

ECCV 2020 Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou

ICML 2018 Explicit Inductive Bias for Transfer Learning with Convolutional Networks Xuhong Li, Yves Grandvalet, Franck Davoine